Acta Biochimica et Biophysica Sinica•2026•DOI: 10.3724/abbs.2025193
Arsenic, a toxic metalloid, exists in organic or inorganic states within the Earth’s seawater, river water, soil, atmosphere, food sources, and diverse biological tissues [1]. It poses a threat to the health of hundreds of millions of people globally [2]. Arsenic exposure has toxic effects on the cardiovascular system of organisms, thus endangering human health [3]. Research has indicated that the harmful effect of arsenic exposure on the heart is associated with abnormal calcium handling in myocardial cells [4]. The cardiac ryanodine receptor type 2 (RyR2) is a primary channel involved in the surface of the endoplasmic reticulum in cardiac myocytes that regulates the release of Ca2+ during the systolic phase [5]. The integrity of its function is crucial for maintaining calcium homeostasis in cardiac myocytes. However, when myocardial tissue is damaged and undergoes pathological changes, the spatial structure of the RyR2 protein becomes unstable and becomes excessively activated, thereby triggering Ca2+ leakage [6]. Dantrolene (Dan), which serves as a stabilizer of RyR1, is frequently employed in clinical settings for the treatment of malignant hyperpyrexia and relieves spastic muscle tension [7]. Previous studies have demonstrated that dantrolene also has a stabilizing effect on RyR2 [8]. Research has shown that dantrolene can prevent calcium leakage in myocardial cells by stabilizing the tertiary structure of the RyR2 protein and thereby inhibiting the pathological hyperactivity of RyR2 [9]. Therefore, this study hypothesizes that dantrolene, by virtue of this stabilizing effect, can alleviate myocardial injury caused by arsenic exposure to some extent and plays a role in protecting cardiac function. For this purpose, we established an arsenic exposure model and a Dan intervention arsenic exposure model to verify the protective effect of Dan on the myocardial tissue and cardiac function of arsenic-exposed rats.
Acta Biochimica et Biophysica Sinica•2025•DOI: 10.3724/abbs.2025044
Pigs, as crucial economic livestock species, possess remarkable reproductive traits and thus play a highly significant role in promoting the progress of the livestock industry. With the advent and application of CRISPR/Cas9 technology, researchers have explored genetic editing techniques to increase swine reproductive performance, flavour profiles, and nutritional attributes. Additionally, with respect to anatomy, physiology, immunology, and genomics as well as other traits, pigs exhibit remarkable similarities to humans. Genetically edited pigs play crucial roles in human disease models, xenotransplantation, breed improvement, vaccine development, and drug assessment. Common methods deployed in the preparation of genetically edited pigs include somatic cell nuclear transfer (SCNT), microinjection and sperm-mediated approaches. For example, Shen et al. [1] successfully generated P53-knockout Diannan miniature pigs using transcription activator-like effector nucleases combined with SCNT, offering a valuable resource for preclinical oncology research. In 2019, Chen et al. [2] employed microinjection to deliver Cas9 messenger ribonucleic acid (mRNA) and single guide ribonucleic acid (sgRNA) into the cytoplasm of fertilized eggs. These authors successfully obtained both the albinism phenotype and the combined phenotype of albinism and immunodeficiency in Tibetan miniature pigs. More recently, Tenihara et al. [3] introduced the CRISPR/Cas9 protein into fertilized porcine eggs via electroporation, enabling a simple, micromanipulation-free approach for generating gene-edited pigs. Among these methods, SCNT has gained extensive interest among researchers because of its reliability. An essential aspect of SCNT is the preparation of embryonic fibroblasts to serve as donor cells. Previously, the CRISPR/Cas9 plasmid editing system served as the predominant technique to generate genetically edited embryonic fibroblasts (Figure 1A) [4]. This approach, which is distinguished by its relative simplicity, high stability, and low cost, was formerly widely utilized in the production of gene-edited pigs. However, plasmid editing is associated with several notable limitations. First, it introduces resistance genes, posing risks of inaccurate gene editing, drug resistance and biosafety concerns. Second, during the CRISPR/Cas9 editing process, there is a possibility of ongoing editing due to deoxyribonucleic acid (DNA) integration. This continuous editing can increase the likelihood of off-target effects, random mutations, and interference with DNA repair mechanisms. Third, the acquisition of positive cell lines via the plasmid editing system typically demands an extended period of in vitro cultivation (lasting 3–4 weeks), which increases the risk of apoptosis and chromosomal aberrations. Consequently, plasmid-based transfection is now largely supplanted by ribonucleoprotein (RNP) systems for gene editing. RNP systems bypass plasmids, delivering the Cas9 protein and sgRNA directly into cells, reducing off-target effects and cytotoxicity [5]. In 2022, Xu et al. [6] developed the reporter RNA-enriched dual-sgRNA CRISPR/Cas9 ribonucleoprotein (RE-DSRNP) method, a transgene-free approach using CRISPR/Cas9 RNPs enriched with ATTO550-tracrRNA (IDT, Iowa, USA) as a fluorescent RNA probe (Figure 1B). This method reduced the time needed to generate donor cells from 3-4 weeks to one week, resulting in high-efficiency WIP1 gene knockouts and the production of pigs with male reproductive disorders. However, owing to genetic diversity, not all target genes achieve 95% editing efficiency, as demonstrated by the RE-DSRNP method, with some falling below 90%. For example, DOCK8, which belongs to the DOCK family, is an atypical guanine nucleotide exchange factor that plays a crucial role in immune responses. DOCK8 deficiency syndrome, a rare hereditary disorder, often leads to combined immunodeficiency and is characterized by elevated serum immunoglobulin E levels, increased eosinophil
Chinese Journal of Tissue Engineering Research•2026•DOI: 10.12307/2026.21287
BACKGROUND: The onset of cervical instability in middle-aged and young adults often begins with neck muscle injuries. A deeper understanding of changes in neck muscles during cervical instability and their correlation can provide valuable data to support the prevention and treatment of cervical instability in this population. OBJECTIVE: To explore the correlation between cervical instability and neck muscle changes in middle-aged and young adults. METHODS: A total of 98 patients with cervical C4/5 instability and 88 healthy subjects, aged 18-45 years, were enrolled through recruitment advertisements and the Department of Spine, Wangjing Hospital, China Academy of Traditional Chinese Medicine. Cervical X-rays were collected to measure cervical curvature and C4/5 vertebral angular displacement. Cervical magnetic resonance imaging was taken to obtain data on C4/5 intervertebral disc signal intensity, as well as the relative cross-sectional area and fat ratio of neck muscles, including prevertebral muscles, deep posterior cervical muscles, and superficial muscles. A univariate intergroup comparison of X-ray and magnetic resonance imaging data was conducted between cervical instability subjects and healthy controls, along with Spearman correlation analysis between C4/5 angular displacement and disc signal intensity, relative cross-sectional area of neck muscles and fat percentage at the C4/5 level in cervical instability patients. RESULTS AND CONCLUSION: The cervical instability group had significantly greater age, C4/5 horizontal displacement, C4/5 angular displacement, and fat ratio of deep posterior cervical muscles than the healthy group (P < 0.05), while cervical curvature and relative cross-sectional area of deep posterior cervical muscles were significantly smaller (P < 0.05). Spearman correlation analysis showed a negative correlation between C4/5 angular displacement and relative cross-sectional area of deep posterior cervical muscles (P < 0.05). These findings suggest that changes in deep posterior cervical muscles may be closely related to the occurrence of cervical instability in middle-aged and young adults.
Chinese Journal of Tissue Engineering Research•2026•DOI: 10.12307/2026.21382
BACKGROUND: Early prediction of cervical instability is crucial for the prevention and treatment of cervical spondylosis, and deep learning technology can provide robust support for intelligent prediction of cervical instability. OBJECTIVE: To develop a deep learning model of cervical instability based on cervical magnetic resonance imaging for early intelligent prediction of cervical instability. METHODS: This study recruited young and middle-aged participants (18-45 years), including both cervical instability patients and healthy controls, through the Spine Department Outpatient Clinic of Wangjing Hospital, China Academy of Chinese Medical Sciences, as well as community-based recruitment. All participants underwent cervical magnetic resonance imaging examinations. On the axial magnetic resonance imaging images, five key anatomical structures were manually annotated: intervertebral disc, facet, prevertebral muscle, deep muscle group in the back of the neck, and superficial muscle group in the back of the neck. A deep learning algorithm was then employed to develop a predictive model for cervical instability, utilizing both the original images and the delineated regions of interest. Finally, the model's predictive performance was systematically evaluated and validated. RESULTS AND CONCLUSION: (1) The study included a total of 308 young and middle-aged participants, comprising 196 individuals with cervical instability and 112 healthy controls. Based on enrollment time, the subjects' data were allocated to either the model training set or the test set. (2) The model demonstrated high predictive performance, with an area under the curve values of 0.97, an F1-score of 0.98, a precision of 0.98, and a recall of 0.97 in the training set. In the test set, these values were 0.97, 0.95, 1.00, and 0.90, respectively. (3) The results indicate that the deep learning model based on cervical magnetic resonance images can achieve early intelligent prediction of cervical instability with high predictive performance.
Chinese Journal of Tissue Engineering Research•2026•DOI: 10.12307/2026.21527
BACKGROUND: Prolonged forward head posture induces neck muscle fatigue, a significant contributing factor to cervical spondylosis. Current unimodal monitoring approaches are inadequate to capture the dynamic coupling among muscle activation, metabolic activity, and motor control. OBJECTIVE: To systematically evaluate the temporal characteristics of neck muscle fatigue using multimodal monitoring technology, thereby providing a theoretical foundation for early detection and intervention of cervical fatigue. METHODS: Twenty healthy participants were recruited. Surface electromyography, near-infrared spectroscopy, and three-dimensional motion capture technology were synchronized to record electrophysiological signals, oxygenated hemoglobin concentration, and cervical kinematics during a sustained 45° static forward flexion task until subjective fatigue was reached (Borg CR-10 score ≥ 4). Temporal changes in root mean square amplitude, mean power frequency, muscle oxygen saturation, and normalized forward head angle were analyzed across fatigue stages segmented into 10% intervals of total endurance time. RESULTS AND CONCLUSION: (1) The root mean square amplitude increased significantly (P < 0.001), while mean power frequency and muscle oxygen saturation decreased significantly (P < 0.001) throughout the task, with the reduction in muscle oxygen saturation commencing from the 40% fatigue stage. (2) Linear regression analysis between mean power frequency and muscle oxygen saturation showed high explanatory power (upper trapezius R²=0.58, middle trapezius R²=0.61), and metabolic compensation preceded significant electrophysiological changes. (3) The upper trapezius entered fatigue earlier than the middle trapezius (P < 0.05). These results indicate that combined monitoring of mean power frequency and muscle oxygen saturation provides highly sensitive indicators for early warning of neck muscle fatigue.
Acta Biochimica et Biophysica Sinica•2025•DOI: 10.3724/abbs.2025044
The generation of genetically edited pigs via somatic cell nuclear transfer (SCNT) has historically relied on plasmid-based CRISPR/Cas9 systems, which introduce resistance genes, risk off-target effects from prolonged editing, and require 3–4 weeks of in vitro selection. This study presents a transgene-free, rapid strategy using the IRE-DSRNP method to edit monoclonal porcine fetal fibroblasts. Three IgA-knockout cell lines were obtained with large deletions in the CH1-CH3 region: 1044 bp (heterozygous), 1043 bp (homozygous), and 1039 bp (homozygous). These cells were pooled and used as donor nuclei for SCNT. From 880 fresh oocytes, 660 mature oocytes were selected, 500 underwent enucleation and nuclear transfer, yielding 400 fused cells; 300 embryos were transplanted into a surrogate sow. Pregnancy was confirmed at 28 days, and after 143 days of gestation, six F0 piglets were born. Genotyping revealed two heterozygotes (4010#, 4015#) and four homozygous knockouts, with two piglets per genotype (1044, 1043, 1039 bp deletions). This approach eliminates plasmid integration, reduces off-target risks, and shortens the timeline for producing IgA-deficient Bama pig models, offering a robust platform for disease modeling and xenotransplantation research.